What is the current concentration of PM10 in South Yorkshire, UK?

The current PM10 concentration at South Yorkshire, UK is 27.977 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

The current sulfur dioxide (SO2) concentration at South Yorkshire, UK is 0.498 ppb.

What is the current concentration of ozone (O3) in South Yorkshire, UK?

The current ozone (O3) concentration at South Yorkshire, UK is 23.794 ppm.

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

The current nitrogen dioxide (NO2) concentration at South Yorkshire, UK is 6.452 ppb.

South Yorkshire, UK live air quality index now

Name: Live air pollution levels in South Yorkshire, UK today
Creator: Ambee

Stay updated with real-time air quality in South Yorkshire, UK featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

South Yorkshire, UK

Last updated: ... (Local time)

Major air pollutants in South Yorkshire, UK

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.13 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

27.05 μg/m³

155

255

425

605+

Ozone (O₃)

24.44 ppb

201

201+

Sulfur Dioxide (SO₂)

0.50 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.74 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.29 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

South Yorkshire, UK

Get Live Pollen Counts

South Yorkshire, UK

Scroll To Air Quality Map

Track live South Yorkshire, UK air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T02:00:00.000Z	24 \| good	3.575 \| good	10.041 \| good	26.08 \| good	0.382 \| good	1.934 \| good	0.276 \| good
2025-09-16T03:00:00.000Z	24 \| good	3.575 \| good	10.041 \| good	26.143 \| good	0.613 \| good	1.454 \| good	0.273 \| good
2025-09-16T04:00:00.000Z	24 \| good	3.705 \| good	10.171 \| good	25.798 \| good	0.613 \| good	1.426 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	24 \| good	3.736 \| good	10.301 \| good	26.153 \| good	0.446 \| good	1.709 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	25 \| good	3.812 \| good	9.455 \| good	26.815 \| good	0.382 \| good	2.229 \| good	0.088 \| good
2025-09-16T07:00:00.000Z	24 \| good	4.073 \| good	9.716 \| good	25.722 \| good	0.389 \| good	4.426 \| good	0.094 \| good
2025-09-16T08:00:00.000Z	27 \| good	4.562 \| good	10.106 \| good	26.286 \| good	0.382 \| good	7.736 \| good	0.086 \| good
2025-09-16T09:00:00.000Z	27 \| good	5.083 \| good	10.21 \| good	25.81 \| good	0.618 \| good	7.983 \| good	0.082 \| good
2025-09-16T10:00:00.000Z	27 \| good	5.083 \| good	10.21 \| good	26.116 \| good	0.61 \| good	6.194 \| good	0.097 \| good
2025-09-16T11:00:00.000Z	23 \| good	3.199 \| good	9.693 \| good	25.097 \| good	0.548 \| good	5.303 \| good	0.079 \| good
2025-09-16T12:00:00.000Z	24 \| good	3.217 \| good	9.912 \| good	25.754 \| good	0.635 \| good	4.88 \| good	0.073 \| good
2025-09-16T13:00:00.000Z	24 \| good	3.198 \| good	9.54 \| good	26.192 \| good	0.634 \| good	5.215 \| good	0.071 \| good
2025-09-16T14:00:00.000Z	24 \| good	3.199 \| good	9.296 \| good	25.999 \| good	0.382 \| good	4.596 \| good	0.072 \| good
2025-09-16T15:00:00.000Z	24 \| good	3.22 \| good	9.813 \| good	26.254 \| good	0.517 \| good	4.818 \| good	0.074 \| good
2025-09-16T16:00:00.000Z	25 \| good	3.21 \| good	9.654 \| good	26.792 \| good	0.447 \| good	6.488 \| good	0.07 \| good
2025-09-16T17:00:00.000Z	25 \| good	3.229 \| good	10.043 \| good	26.997 \| good	0.488 \| good	8.13 \| good	0.071 \| good
2025-09-16T18:00:00.000Z	25 \| good	3.184 \| good	9.537 \| good	27.41 \| good	0.488 \| good	7.446 \| good	0.078 \| good
2025-09-16T19:00:00.000Z	26 \| good	3.212 \| good	9.65 \| good	27.775 \| good	0.447 \| good	8.655 \| good	0.082 \| good
2025-09-16T20:00:00.000Z	25 \| good	3.23 \| good	10.133 \| good	26.639 \| good	0.491 \| good	11.46 \| good	0.081 \| good
2025-09-16T21:00:00.000Z	23 \| good	3.239 \| good	10.435 \| good	25.359 \| good	0.421 \| good	13.48 \| good	0.081 \| good
2025-09-16T22:00:00.000Z	22 \| good	3.518 \| good	11.079 \| good	24.075 \| good	0.382 \| good	18.482 \| good	0.067 \| good
2025-09-16T23:00:00.000Z	22 \| good	3.595 \| good	12.348 \| good	22.638 \| good	0.382 \| good	14.062 \| good	0.069 \| good
2025-09-17T00:00:00.000Z	22 \| good	3.587 \| good	12.771 \| good	21.409 \| good	0.49 \| good	10.451 \| good	0.19 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.599 \| good	12.014 \| good	19.918 \| good	0.481 \| good	9.238 \| good	0.241 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.636 \| good	12.078 \| good	19.061 \| good	0.448 \| good	5.566 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.682 \| good	12.958 \| good	18.813 \| good	0.447 \| good	5.566 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.594 \| good	12.889 \| good	17.361 \| good	0.39 \| good	3.293 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.799 \| good	13.736 \| good	16.711 \| good	0.382 \| good	5.133 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.825 \| good	13.628 \| good	17.331 \| good	0.418 \| good	8.284 \| good	0.067 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.768 \| good	13.918 \| good	17.157 \| good	0.487 \| good	10.539 \| good	0.073 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.497 \| good	16.345 \| good	16.609 \| good	0.45 \| good	10.787 \| good	0.069 \| good
2025-09-17T09:00:00.000Z	33 \| good	6.186 \| good	24.606 \| good	17.373 \| good	0.517 \| good	12.366 \| good	0.065 \| good
2025-09-17T10:00:00.000Z	33 \| good	6.436 \| good	25.432 \| good	17.473 \| good	0.682 \| good	12.725 \| good	0.063 \| good
2025-09-17T11:00:00.000Z	33 \| good	6.148 \| good	24.253 \| good	17.965 \| good	0.681 \| good	11.906 \| good	0.08 \| good
2025-09-17T12:00:00.000Z	33 \| good	6.061 \| good	24.324 \| good	17.348 \| good	0.688 \| good	10.312 \| good	0.064 \| good
2025-09-17T13:00:00.000Z	33 \| good	5.746 \| good	23.777 \| good	16.559 \| good	0.69 \| good	8.204 \| good	0.065 \| good
2025-09-17T14:00:00.000Z	33 \| good	6.212 \| good	21.508 \| good	17.556 \| good	0.755 \| good	6.9 \| good	0.062 \| good
2025-09-17T15:00:00.000Z	33 \| good	5.908 \| good	21.427 \| good	18.537 \| good	0.689 \| good	5.985 \| good	0.062 \| good
2025-09-17T16:00:00.000Z	33 \| good	5.601 \| good	22.993 \| good	18.181 \| good	0.614 \| good	6.563 \| good	0.064 \| good
2025-09-17T17:00:00.000Z	33 \| good	5.609 \| good	21.476 \| good	18.801 \| good	0.517 \| good	5.8 \| good	0.07 \| good
2025-09-17T18:00:00.000Z	33 \| good	5.604 \| good	20.976 \| good	20.278 \| good	0.452 \| good	7.272 \| good	0.068 \| good
2025-09-17T19:00:00.000Z	33 \| good	5.645 \| good	21.439 \| good	21.03 \| good	0.515 \| good	6.619 \| good	0.067 \| good
2025-09-17T20:00:00.000Z	33 \| good	5.65 \| good	20.99 \| good	21.519 \| good	0.449 \| good	7.207 \| good	0.07 \| good
2025-09-17T21:00:00.000Z	27 \| good	5.133 \| good	20.656 \| good	21.293 \| good	0.489 \| good	6.213 \| good	0.079 \| good
2025-09-17T22:00:00.000Z	27 \| good	5.006 \| good	19.496 \| good	22.017 \| good	0.49 \| good	6.538 \| good	0.049 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.98 \| good	19.518 \| good	22.506 \| good	0.486 \| good	6.033 \| good	0.048 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.731 \| good	18.926 \| good	22.782 \| good	0.485 \| good	4.522 \| good	0.286 \| good
2025-09-18T01:00:00.000Z	27 \| good	4.723 \| good	20.68 \| good	23.754 \| good	0.486 \| good	3.342 \| good	0.206 \| good
2025-09-18T01:00:00.000Z	38 \| good	7.132 \| good	27.046 \| good	24.436 \| good	0.498 \| good	4.739 \| good	0.287 \| good
2025-09-18T01:00:00.000Z	26 \| good	3.125 \| good	5.313 \| good	28.467 \| good	0.121 \| good	1.98 \| good	0.107 \| good
2025-09-18T02:00:00.000Z	28 \| good	3.141 \| good	5.985 \| good	29.943 \| good	0.131 \| good	1.881 \| good	0.108 \| good
2025-09-18T03:00:00.000Z	27 \| good	3.21 \| good	6.306 \| good	28.876 \| good	0.143 \| good	1.887 \| good	0.108 \| good
2025-09-18T04:00:00.000Z	27 \| good	3.25 \| good	6.538 \| good	28.782 \| good	0.152 \| good	1.994 \| good	0.109 \| good
2025-09-18T05:00:00.000Z	26 \| good	3.313 \| good	6.699 \| good	28.247 \| good	0.17 \| good	2.337 \| good	0.109 \| good
2025-09-18T06:00:00.000Z	25 \| good	3.238 \| good	6.868 \| good	27.203 \| good	0.23 \| good	3.548 \| good	0.111 \| good
2025-09-18T07:00:00.000Z	24 \| good	3.177 \| good	6.597 \| good	25.697 \| good	0.271 \| good	5.582 \| good	0.117 \| good
2025-09-18T08:00:00.000Z	22 \| good	3.659 \| good	6.42 \| good	23.181 \| good	0.296 \| good	5.887 \| good	0.116 \| good
2025-09-18T09:00:00.000Z	20 \| good	3.43 \| good	5.592 \| good	22.005 \| good	0.277 \| good	4.899 \| good	0.112 \| good
2025-09-18T10:00:00.000Z	19 \| good	3.21 \| good	4.973 \| good	21.21 \| good	0.252 \| good	4.369 \| good	0.109 \| good
2025-09-18T11:00:00.000Z	20 \| good	3.417 \| good	5.586 \| good	22.196 \| good	0.217 \| good	3.466 \| good	0.108 \| good
2025-09-18T12:00:00.000Z	23 \| good	3.248 \| good	5.262 \| good	25.412 \| good	0.181 \| good	2.75 \| good	0.106 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.957 \| good	4.992 \| good	26.955 \| good	0.15 \| good	1.974 \| good	0.106 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.814 \| good	5.077 \| good	28.4 \| good	0.142 \| good	1.967 \| good	0.105 \| good
2025-09-18T15:00:00.000Z	27 \| good	2.947 \| good	4.942 \| good	28.817 \| good	0.144 \| good	2.042 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	27 \| good	2.926 \| good	5.318 \| good	28.893 \| good	0.143 \| good	2.511 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.174 \| good	5.462 \| good	28.081 \| good	0.165 \| good	3.326 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	26 \| good	3.23 \| good	5.635 \| good	27.583 \| good	0.171 \| good	3.762 \| good	0.102 \| good
2025-09-18T19:00:00.000Z	25 \| good	3.141 \| good	5.683 \| good	27.306 \| good	0.194 \| good	3.445 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	25 \| good	3.092 \| good	5.463 \| good	26.558 \| good	0.174 \| good	2.998 \| good	0.1 \| good
2025-09-18T21:00:00.000Z	23 \| good	3.083 \| good	5.405 \| good	24.889 \| good	0.154 \| good	2.706 \| good	0.099 \| good
2025-09-18T22:00:00.000Z	22 \| good	3.021 \| good	5.398 \| good	23.915 \| good	0.139 \| good	2.66 \| good	0.099 \| good
2025-09-18T23:00:00.000Z	22 \| good	3.012 \| good	4.946 \| good	23.874 \| good	0.113 \| good	2.512 \| good	0.099 \| good
2025-09-19T00:00:00.000Z	22 \| good	3.135 \| good	4.967 \| good	24.255 \| good	0.104 \| good	2.341 \| good	0.101 \| good
2025-09-19T01:00:00.000Z	22 \| good	3.266 \| good	5.345 \| good	24.383 \| good	0.103 \| good	2.257 \| good	0.102 \| good
2025-09-19T02:00:00.000Z	22 \| good	3.253 \| good	5.345 \| good	23.834 \| good	0.11 \| good	2.142 \| good	0.102 \| good
2025-09-19T03:00:00.000Z	21 \| good	3.35 \| good	5.42 \| good	23.336 \| good	0.111 \| good	2.075 \| good	0.1 \| good
2025-09-19T04:00:00.000Z	22 \| good	3.679 \| good	6.069 \| good	22.499 \| good	0.112 \| good	2.279 \| good	0.1 \| good
2025-09-19T05:00:00.000Z	22 \| good	3.958 \| good	6.576 \| good	22.76 \| good	0.128 \| good	2.485 \| good	0.1 \| good
2025-09-19T06:00:00.000Z	22 \| good	4.241 \| good	6.999 \| good	22.96 \| good	0.16 \| good	3.374 \| good	0.105 \| good
2025-09-19T07:00:00.000Z	27 \| good	4.684 \| good	6.977 \| good	22.452 \| good	0.192 \| good	4.591 \| good	0.109 \| good
2025-09-19T08:00:00.000Z	27 \| good	4.612 \| good	6.964 \| good	22.439 \| good	0.198 \| good	4.621 \| good	0.11 \| good
2025-09-19T09:00:00.000Z	22 \| good	4.259 \| good	6.715 \| good	23.741 \| good	0.188 \| good	4.495 \| good	0.111 \| good
2025-09-19T10:00:00.000Z	24 \| good	4.198 \| good	6.396 \| good	26.144 \| good	0.18 \| good	3.847 \| good	0.112 \| good
2025-09-19T11:00:00.000Z	27 \| good	4.503 \| good	6.488 \| good	28.095 \| good	0.177 \| good	3.718 \| good	0.115 \| good
2025-09-19T12:00:00.000Z	29 \| good	4.768 \| good	7.133 \| good	30.582 \| good	0.185 \| good	3.444 \| good	0.116 \| good
2025-09-19T13:00:00.000Z	32 \| good	4.824 \| good	7.221 \| good	35.48 \| good	0.189 \| good	2.91 \| good	0.115 \| good
2025-09-19T14:00:00.000Z	35 \| good	4.947 \| good	8.022 \| good	38.157 \| good	0.176 \| good	2.651 \| good	0.115 \| good
2025-09-19T15:00:00.000Z	36 \| good	5.614 \| good	8.455 \| good	38.653 \| good	0.174 \| good	2.75 \| good	0.113 \| good
2025-09-19T16:00:00.000Z	36 \| good	5.711 \| good	9.709 \| good	38.566 \| good	0.181 \| good	3.678 \| good	0.116 \| good
2025-09-19T17:00:00.000Z	34 \| good	6.278 \| good	10.269 \| good	36.557 \| good	0.195 \| good	4.639 \| good	0.12 \| good
2025-09-19T18:00:00.000Z	38 \| good	6.689 \| good	10.916 \| good	32.525 \| good	0.283 \| good	5.787 \| good	0.127 \| good
2025-09-19T19:00:00.000Z	33 \| good	6.4 \| good	10.291 \| good	29.785 \| good	0.319 \| good	6.024 \| good	0.119 \| good
2025-09-19T20:00:00.000Z	27 \| good	5.191 \| good	8.946 \| good	29.193 \| good	0.276 \| good	5.107 \| good	0.114 \| good
2025-09-19T21:00:00.000Z	27 \| good	4.596 \| good	8.084 \| good	28.938 \| good	0.253 \| good	4.661 \| good	0.111 \| good
2025-09-19T22:00:00.000Z	26 \| good	4.176 \| good	7.785 \| good	27.64 \| good	0.24 \| good	4.543 \| good	0.11 \| good
2025-09-19T23:00:00.000Z	24 \| good	3.471 \| good	7.426 \| good	26.402 \| good	0.212 \| good	4.388 \| good	0.109 \| good
2025-09-20T00:00:00.000Z	23 \| good	3.578 \| good	6.53 \| good	24.702 \| good	0.181 \| good	4.136 \| good	0.11 \| good

South Yorkshire

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
Darton, South Yorkshire	27 Good	2.10μg/m³ Good	4.51μg/m³ Good	28.62ppb Good	0.40ppb Good	2.47ppb Good	0.05ppm Good
Conisbrough, South Yorkshire	54 Moderate	10.97μg/m³ Good	47.42μg/m³ Good	23.29ppb Good	0.51ppb Good	7.97ppb Good	0.05ppm Good
Cudworth, South Yorkshire	24 Good	2.56μg/m³ Good	7.27μg/m³ Good	25.90ppb Good	0.45ppb Good	4.25ppb Good	0.05ppm Good
Dinnington, South Yorkshire	20 Good	0.70μg/m³ Good	3.87μg/m³ Good	21.61ppb Good	0.51ppb Good	4.69ppb Good	0.05ppm Good
Adwick le Street, South Yorkshire	60 Moderate	13.76μg/m³ Fine	60.48μg/m³ Fine	23.48ppb Good	0.52ppb Good	8.84ppb Good	0.05ppm Good
Armthorpe, South Yorkshire	60 Moderate	13.68μg/m³ Fine	60.03μg/m³ Fine	22.98ppb Good	0.55ppb Good	8.69ppb Good	0.05ppm Good
Chapeltown, South Yorkshire	22 Good	3.54μg/m³ Good	13.44μg/m³ Good	23.35ppb Good	0.47ppb Good	7.57ppb Good	0.05ppm Good
Barnsley, South Yorkshire	26 Good	2.13μg/m³ Good	4.75μg/m³ Good	28.45ppb Good	0.40ppb Good	2.61ppb Good	0.05ppm Good
Bentley, South Yorkshire	62 Moderate	15.47μg/m³ Fine	68.54μg/m³ Fine	23.42ppb Good	0.53ppb Good	9.40ppb Good	0.05ppm Good
Doncaster, South Yorkshire	64 Moderate	15.97μg/m³ Fine	70.86μg/m³ Fine	23.41ppb Good	0.54ppb Good	9.56ppb Good	0.05ppm Good
Dunscroft, South Yorkshire	44 Good	7.62μg/m³ Good	20.53μg/m³ Good	21.21ppb Good	0.55ppb Good	7.31ppb Good	0.05ppm Good
Scawthorpe, South Yorkshire	62 Moderate	15.47μg/m³ Fine	68.54μg/m³ Fine	23.42ppb Good	0.53ppb Good	9.40ppb Good	0.05ppm Good
Hoyland, South Yorkshire	22 Good	2.83μg/m³ Good	9.34μg/m³ Good	24.46ppb Good	0.45ppb Good	5.36ppb Good	0.05ppm Good
Swallownest, South Yorkshire	22 Good	2.46μg/m³ Good	7.77μg/m³ Good	23.57ppb Good	0.48ppb Good	4.47ppb Good	0.05ppm Good
Swinton, South Yorkshire	33 Good	5.72μg/m³ Good	22.89μg/m³ Good	22.96ppb Good	0.48ppb Good	6.26ppb Good	0.05ppm Good
New Rossington, South Yorkshire	60 Moderate	13.97μg/m³ Fine	61.68μg/m³ Fine	23.23ppb Good	0.54ppb Good	8.91ppb Good	0.05ppm Good
Thorne, South Yorkshire	38 Good	7.02μg/m³ Good	27.97μg/m³ Good	23.92ppb Good	0.56ppb Good	5.93ppb Good	0.05ppm Good
Maltby, South Yorkshire	38 Good	7.06μg/m³ Good	7.39μg/m³ Good	23.80ppb Good	0.52ppb Good	6.08ppb Good	0.05ppm Good
Rotherham, South Yorkshire	19 Good	2.40μg/m³ Good	7.79μg/m³ Good	20.75ppb Good	0.49ppb Good	4.65ppb Good	0.05ppm Good
Sheffield, South Yorkshire	24 Good	2.89μg/m³ Good	7.69μg/m³ Good	26.04ppb Good	0.48ppb Good	5.41ppb Good	0.05ppm Good
Kirk Sandall, South Yorkshire	60 Moderate	14.29μg/m³ Fine	62.79μg/m³ Fine	23.12ppb Good	0.54ppb Good	9.20ppb Good	0.05ppm Good
Rawmarsh, South Yorkshire	20 Good	3.48μg/m³ Good	12.64μg/m³ Good	21.69ppb Good	0.48ppb Good	5.46ppb Good	0.05ppm Good
Mexborough, South Yorkshire	38 Good	7.06μg/m³ Good	7.39μg/m³ Good	23.80ppb Good	0.52ppb Good	6.08ppb Good	0.05ppm Good
Royston, South Yorkshire	25 Good	2.36μg/m³ Good	5.99μg/m³ Good	27.19ppb Good	0.43ppb Good	3.46ppb Good	0.05ppm Good
Wombwell, South Yorkshire	33 Good	5.70μg/m³ Good	24.53μg/m³ Good	22.52ppb Good	0.51ppb Good	5.63ppb Good	0.05ppm Good
Wickersley, South Yorkshire	38 Good	7.06μg/m³ Good	7.39μg/m³ Good	23.80ppb Good	0.52ppb Good	6.08ppb Good	0.05ppm Good
Warmsworth, South Yorkshire	62 Moderate	14.60μg/m³ Fine	64.43μg/m³ Fine	23.41ppb Good	0.53ppb Good	9.13ppb Good	0.05ppm Good
WathuponDearne, South Yorkshire	22 Good	4.12μg/m³ Good	15.44μg/m³ Good	22.84ppb Good	0.48ppb Good	5.75ppb Good	0.05ppm Good

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
No results found

0.05ppm

How accurate is South Yorkshire, UK air quality data?

Air quality data and pollutant measurements for South Yorkshire, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in UK

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Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

The air quality for South Yorkshire, UK is updated every hour.

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

The worst air quality in South Yorkshire, UK in the last 24 hours was observed at 08:00:00 on 2025-09-17.

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

In the last 24 hrs, the best air quality in South Yorkshire, UK was observed at 08:00:00 on 2025-09-17.

What is the current air quality in South Yorkshire, UK?

The current air quality in South Yorkshire, UK is 38, categorized as Good based on real-time data.

What pollutant is the most common in South Yorkshire, UK?

The most common pollutant in South Yorkshire, UK is PM2.5.

What should I do if the air quality in South Yorkshire, UK is poor?

If the air quality in South Yorkshire, UK is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in South Yorkshire, UK?

The current PM_2.5 concentration at South Yorkshire, UK is 7.392 μg/m³.

What is the current concentration of PM₁₀ in South Yorkshire, UK?

The current PM₁₀ concentration at South Yorkshire, UK is 27.977 μg/m³.

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

The current carbon monoxide (CO) concentration at South Yorkshire, UK is 0.048 ppm.

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

The current sulfur dioxide (SO₂) concentration at South Yorkshire, UK is 0.498 ppb.

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

The current ozone (O₃) concentration at South Yorkshire, UK is 23.794 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?

The current nitrogen dioxide (NO₂) concentration at South Yorkshire, UK is 6.452 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T02:00:00.000Z	24 \| good	3.575 \| good	10.041 \| good	26.08 \| good	0.382 \| good	1.934 \| good	0.276 \| good
2025-09-16T03:00:00.000Z	24 \| good	3.575 \| good	10.041 \| good	26.143 \| good	0.613 \| good	1.454 \| good	0.273 \| good
2025-09-16T04:00:00.000Z	24 \| good	3.705 \| good	10.171 \| good	25.798 \| good	0.613 \| good	1.426 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	24 \| good	3.736 \| good	10.301 \| good	26.153 \| good	0.446 \| good	1.709 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	25 \| good	3.812 \| good	9.455 \| good	26.815 \| good	0.382 \| good	2.229 \| good	0.088 \| good
2025-09-16T07:00:00.000Z	24 \| good	4.073 \| good	9.716 \| good	25.722 \| good	0.389 \| good	4.426 \| good	0.094 \| good
2025-09-16T08:00:00.000Z	27 \| good	4.562 \| good	10.106 \| good	26.286 \| good	0.382 \| good	7.736 \| good	0.086 \| good
2025-09-16T09:00:00.000Z	27 \| good	5.083 \| good	10.21 \| good	25.81 \| good	0.618 \| good	7.983 \| good	0.082 \| good
2025-09-16T10:00:00.000Z	27 \| good	5.083 \| good	10.21 \| good	26.116 \| good	0.61 \| good	6.194 \| good	0.097 \| good
2025-09-16T11:00:00.000Z	23 \| good	3.199 \| good	9.693 \| good	25.097 \| good	0.548 \| good	5.303 \| good	0.079 \| good
2025-09-16T12:00:00.000Z	24 \| good	3.217 \| good	9.912 \| good	25.754 \| good	0.635 \| good	4.88 \| good	0.073 \| good
2025-09-16T13:00:00.000Z	24 \| good	3.198 \| good	9.54 \| good	26.192 \| good	0.634 \| good	5.215 \| good	0.071 \| good
2025-09-16T14:00:00.000Z	24 \| good	3.199 \| good	9.296 \| good	25.999 \| good	0.382 \| good	4.596 \| good	0.072 \| good
2025-09-16T15:00:00.000Z	24 \| good	3.22 \| good	9.813 \| good	26.254 \| good	0.517 \| good	4.818 \| good	0.074 \| good
2025-09-16T16:00:00.000Z	25 \| good	3.21 \| good	9.654 \| good	26.792 \| good	0.447 \| good	6.488 \| good	0.07 \| good
2025-09-16T17:00:00.000Z	25 \| good	3.229 \| good	10.043 \| good	26.997 \| good	0.488 \| good	8.13 \| good	0.071 \| good
2025-09-16T18:00:00.000Z	25 \| good	3.184 \| good	9.537 \| good	27.41 \| good	0.488 \| good	7.446 \| good	0.078 \| good
2025-09-16T19:00:00.000Z	26 \| good	3.212 \| good	9.65 \| good	27.775 \| good	0.447 \| good	8.655 \| good	0.082 \| good
2025-09-16T20:00:00.000Z	25 \| good	3.23 \| good	10.133 \| good	26.639 \| good	0.491 \| good	11.46 \| good	0.081 \| good
2025-09-16T21:00:00.000Z	23 \| good	3.239 \| good	10.435 \| good	25.359 \| good	0.421 \| good	13.48 \| good	0.081 \| good
2025-09-16T22:00:00.000Z	22 \| good	3.518 \| good	11.079 \| good	24.075 \| good	0.382 \| good	18.482 \| good	0.067 \| good
2025-09-16T23:00:00.000Z	22 \| good	3.595 \| good	12.348 \| good	22.638 \| good	0.382 \| good	14.062 \| good	0.069 \| good
2025-09-17T00:00:00.000Z	22 \| good	3.587 \| good	12.771 \| good	21.409 \| good	0.49 \| good	10.451 \| good	0.19 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.599 \| good	12.014 \| good	19.918 \| good	0.481 \| good	9.238 \| good	0.241 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.636 \| good	12.078 \| good	19.061 \| good	0.448 \| good	5.566 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.682 \| good	12.958 \| good	18.813 \| good	0.447 \| good	5.566 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.594 \| good	12.889 \| good	17.361 \| good	0.39 \| good	3.293 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.799 \| good	13.736 \| good	16.711 \| good	0.382 \| good	5.133 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.825 \| good	13.628 \| good	17.331 \| good	0.418 \| good	8.284 \| good	0.067 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.768 \| good	13.918 \| good	17.157 \| good	0.487 \| good	10.539 \| good	0.073 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.497 \| good	16.345 \| good	16.609 \| good	0.45 \| good	10.787 \| good	0.069 \| good
2025-09-17T09:00:00.000Z	33 \| good	6.186 \| good	24.606 \| good	17.373 \| good	0.517 \| good	12.366 \| good	0.065 \| good
2025-09-17T10:00:00.000Z	33 \| good	6.436 \| good	25.432 \| good	17.473 \| good	0.682 \| good	12.725 \| good	0.063 \| good
2025-09-17T11:00:00.000Z	33 \| good	6.148 \| good	24.253 \| good	17.965 \| good	0.681 \| good	11.906 \| good	0.08 \| good
2025-09-17T12:00:00.000Z	33 \| good	6.061 \| good	24.324 \| good	17.348 \| good	0.688 \| good	10.312 \| good	0.064 \| good
2025-09-17T13:00:00.000Z	33 \| good	5.746 \| good	23.777 \| good	16.559 \| good	0.69 \| good	8.204 \| good	0.065 \| good
2025-09-17T14:00:00.000Z	33 \| good	6.212 \| good	21.508 \| good	17.556 \| good	0.755 \| good	6.9 \| good	0.062 \| good
2025-09-17T15:00:00.000Z	33 \| good	5.908 \| good	21.427 \| good	18.537 \| good	0.689 \| good	5.985 \| good	0.062 \| good
2025-09-17T16:00:00.000Z	33 \| good	5.601 \| good	22.993 \| good	18.181 \| good	0.614 \| good	6.563 \| good	0.064 \| good
2025-09-17T17:00:00.000Z	33 \| good	5.609 \| good	21.476 \| good	18.801 \| good	0.517 \| good	5.8 \| good	0.07 \| good
2025-09-17T18:00:00.000Z	33 \| good	5.604 \| good	20.976 \| good	20.278 \| good	0.452 \| good	7.272 \| good	0.068 \| good
2025-09-17T19:00:00.000Z	33 \| good	5.645 \| good	21.439 \| good	21.03 \| good	0.515 \| good	6.619 \| good	0.067 \| good
2025-09-17T20:00:00.000Z	33 \| good	5.65 \| good	20.99 \| good	21.519 \| good	0.449 \| good	7.207 \| good	0.07 \| good
2025-09-17T21:00:00.000Z	27 \| good	5.133 \| good	20.656 \| good	21.293 \| good	0.489 \| good	6.213 \| good	0.079 \| good
2025-09-17T22:00:00.000Z	27 \| good	5.006 \| good	19.496 \| good	22.017 \| good	0.49 \| good	6.538 \| good	0.049 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.98 \| good	19.518 \| good	22.506 \| good	0.486 \| good	6.033 \| good	0.048 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.731 \| good	18.926 \| good	22.782 \| good	0.485 \| good	4.522 \| good	0.286 \| good
2025-09-18T01:00:00.000Z	27 \| good	4.723 \| good	20.68 \| good	23.754 \| good	0.486 \| good	3.342 \| good	0.206 \| good
2025-09-18T01:00:00.000Z	38 \| good	7.132 \| good	27.046 \| good	24.436 \| good	0.498 \| good	4.739 \| good	0.287 \| good
2025-09-18T01:00:00.000Z	26 \| good	3.125 \| good	5.313 \| good	28.467 \| good	0.121 \| good	1.98 \| good	0.107 \| good
2025-09-18T02:00:00.000Z	28 \| good	3.141 \| good	5.985 \| good	29.943 \| good	0.131 \| good	1.881 \| good	0.108 \| good
2025-09-18T03:00:00.000Z	27 \| good	3.21 \| good	6.306 \| good	28.876 \| good	0.143 \| good	1.887 \| good	0.108 \| good
2025-09-18T04:00:00.000Z	27 \| good	3.25 \| good	6.538 \| good	28.782 \| good	0.152 \| good	1.994 \| good	0.109 \| good
2025-09-18T05:00:00.000Z	26 \| good	3.313 \| good	6.699 \| good	28.247 \| good	0.17 \| good	2.337 \| good	0.109 \| good
2025-09-18T06:00:00.000Z	25 \| good	3.238 \| good	6.868 \| good	27.203 \| good	0.23 \| good	3.548 \| good	0.111 \| good
2025-09-18T07:00:00.000Z	24 \| good	3.177 \| good	6.597 \| good	25.697 \| good	0.271 \| good	5.582 \| good	0.117 \| good
2025-09-18T08:00:00.000Z	22 \| good	3.659 \| good	6.42 \| good	23.181 \| good	0.296 \| good	5.887 \| good	0.116 \| good
2025-09-18T09:00:00.000Z	20 \| good	3.43 \| good	5.592 \| good	22.005 \| good	0.277 \| good	4.899 \| good	0.112 \| good
2025-09-18T10:00:00.000Z	19 \| good	3.21 \| good	4.973 \| good	21.21 \| good	0.252 \| good	4.369 \| good	0.109 \| good
2025-09-18T11:00:00.000Z	20 \| good	3.417 \| good	5.586 \| good	22.196 \| good	0.217 \| good	3.466 \| good	0.108 \| good
2025-09-18T12:00:00.000Z	23 \| good	3.248 \| good	5.262 \| good	25.412 \| good	0.181 \| good	2.75 \| good	0.106 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.957 \| good	4.992 \| good	26.955 \| good	0.15 \| good	1.974 \| good	0.106 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.814 \| good	5.077 \| good	28.4 \| good	0.142 \| good	1.967 \| good	0.105 \| good
2025-09-18T15:00:00.000Z	27 \| good	2.947 \| good	4.942 \| good	28.817 \| good	0.144 \| good	2.042 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	27 \| good	2.926 \| good	5.318 \| good	28.893 \| good	0.143 \| good	2.511 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.174 \| good	5.462 \| good	28.081 \| good	0.165 \| good	3.326 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	26 \| good	3.23 \| good	5.635 \| good	27.583 \| good	0.171 \| good	3.762 \| good	0.102 \| good
2025-09-18T19:00:00.000Z	25 \| good	3.141 \| good	5.683 \| good	27.306 \| good	0.194 \| good	3.445 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	25 \| good	3.092 \| good	5.463 \| good	26.558 \| good	0.174 \| good	2.998 \| good	0.1 \| good
2025-09-18T21:00:00.000Z	23 \| good	3.083 \| good	5.405 \| good	24.889 \| good	0.154 \| good	2.706 \| good	0.099 \| good
2025-09-18T22:00:00.000Z	22 \| good	3.021 \| good	5.398 \| good	23.915 \| good	0.139 \| good	2.66 \| good	0.099 \| good
2025-09-18T23:00:00.000Z	22 \| good	3.012 \| good	4.946 \| good	23.874 \| good	0.113 \| good	2.512 \| good	0.099 \| good
2025-09-19T00:00:00.000Z	22 \| good	3.135 \| good	4.967 \| good	24.255 \| good	0.104 \| good	2.341 \| good	0.101 \| good
2025-09-19T01:00:00.000Z	22 \| good	3.266 \| good	5.345 \| good	24.383 \| good	0.103 \| good	2.257 \| good	0.102 \| good
2025-09-19T02:00:00.000Z	22 \| good	3.253 \| good	5.345 \| good	23.834 \| good	0.11 \| good	2.142 \| good	0.102 \| good
2025-09-19T03:00:00.000Z	21 \| good	3.35 \| good	5.42 \| good	23.336 \| good	0.111 \| good	2.075 \| good	0.1 \| good
2025-09-19T04:00:00.000Z	22 \| good	3.679 \| good	6.069 \| good	22.499 \| good	0.112 \| good	2.279 \| good	0.1 \| good
2025-09-19T05:00:00.000Z	22 \| good	3.958 \| good	6.576 \| good	22.76 \| good	0.128 \| good	2.485 \| good	0.1 \| good
2025-09-19T06:00:00.000Z	22 \| good	4.241 \| good	6.999 \| good	22.96 \| good	0.16 \| good	3.374 \| good	0.105 \| good
2025-09-19T07:00:00.000Z	27 \| good	4.684 \| good	6.977 \| good	22.452 \| good	0.192 \| good	4.591 \| good	0.109 \| good
2025-09-19T08:00:00.000Z	27 \| good	4.612 \| good	6.964 \| good	22.439 \| good	0.198 \| good	4.621 \| good	0.11 \| good
2025-09-19T09:00:00.000Z	22 \| good	4.259 \| good	6.715 \| good	23.741 \| good	0.188 \| good	4.495 \| good	0.111 \| good
2025-09-19T10:00:00.000Z	24 \| good	4.198 \| good	6.396 \| good	26.144 \| good	0.18 \| good	3.847 \| good	0.112 \| good
2025-09-19T11:00:00.000Z	27 \| good	4.503 \| good	6.488 \| good	28.095 \| good	0.177 \| good	3.718 \| good	0.115 \| good
2025-09-19T12:00:00.000Z	29 \| good	4.768 \| good	7.133 \| good	30.582 \| good	0.185 \| good	3.444 \| good	0.116 \| good
2025-09-19T13:00:00.000Z	32 \| good	4.824 \| good	7.221 \| good	35.48 \| good	0.189 \| good	2.91 \| good	0.115 \| good
2025-09-19T14:00:00.000Z	35 \| good	4.947 \| good	8.022 \| good	38.157 \| good	0.176 \| good	2.651 \| good	0.115 \| good
2025-09-19T15:00:00.000Z	36 \| good	5.614 \| good	8.455 \| good	38.653 \| good	0.174 \| good	2.75 \| good	0.113 \| good
2025-09-19T16:00:00.000Z	36 \| good	5.711 \| good	9.709 \| good	38.566 \| good	0.181 \| good	3.678 \| good	0.116 \| good
2025-09-19T17:00:00.000Z	34 \| good	6.278 \| good	10.269 \| good	36.557 \| good	0.195 \| good	4.639 \| good	0.12 \| good
2025-09-19T18:00:00.000Z	38 \| good	6.689 \| good	10.916 \| good	32.525 \| good	0.283 \| good	5.787 \| good	0.127 \| good
2025-09-19T19:00:00.000Z	33 \| good	6.4 \| good	10.291 \| good	29.785 \| good	0.319 \| good	6.024 \| good	0.119 \| good
2025-09-19T20:00:00.000Z	27 \| good	5.191 \| good	8.946 \| good	29.193 \| good	0.276 \| good	5.107 \| good	0.114 \| good
2025-09-19T21:00:00.000Z	27 \| good	4.596 \| good	8.084 \| good	28.938 \| good	0.253 \| good	4.661 \| good	0.111 \| good
2025-09-19T22:00:00.000Z	26 \| good	4.176 \| good	7.785 \| good	27.64 \| good	0.24 \| good	4.543 \| good	0.11 \| good
2025-09-19T23:00:00.000Z	24 \| good	3.471 \| good	7.426 \| good	26.402 \| good	0.212 \| good	4.388 \| good	0.109 \| good
2025-09-20T00:00:00.000Z	23 \| good	3.578 \| good	6.53 \| good	24.702 \| good	0.181 \| good	4.136 \| good	0.11 \| good

South Yorkshire, UK live air quality index now

Major air pollutants in South Yorkshire, UK

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Yorkshire, UK air quality forecast and history

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

Air quality in nearby states

Derbyshire, UK

Nottinghamshire, UK

West Yorkshire, UK

North Lincolnshire, UK

Greater Manchester, UK

East Riding of Yorkshire, UK

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

What is the current air quality in South Yorkshire, UK?

What pollutant is the most common in South Yorkshire, UK?

What should I do if the air quality in South Yorkshire, UK is poor?

What is the current concentration of PM2.5 in South Yorkshire, UK?

What is the current concentration of PM10 in South Yorkshire, UK?

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

What is the current concentration of ozone (O3) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in South Yorkshire, UK?

What is the current concentration of PM₁₀ in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?